## `geom_smooth()` using method = 'loess' and formula 'y ~ x'
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : span too small. fewer data values than degrees of freedom.
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : pseudoinverse used at 1998
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : neighborhood radius 2.02
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : reciprocal condition number 0
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : There are other near singularities as well. 4.0804
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : span too small. fewer ## data values than degrees of freedom.
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : pseudoinverse used at ## 1998
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : neighborhood radius 2.02
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : reciprocal condition ## number 0
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : There are other near ## singularities as well. 4.0804
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : Chernobyl! trL>n 6 ## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : Chernobyl! trL>n 6
## Warning in sqrt(sum.squares/one.delta): NaNs produced
## Warning in stats::qt(level/2 + 0.5, pred$df): NaNs produced
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : span too small. fewer data values than degrees of freedom.
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : pseudoinverse used at 1998
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : neighborhood radius 2.02
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : reciprocal condition number 0
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : There are other near singularities as well. 4.0804
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : span too small. fewer ## data values than degrees of freedom.
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : pseudoinverse used at ## 1998
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : neighborhood radius 2.02
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : reciprocal condition ## number 0
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : There are other near ## singularities as well. 4.0804
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : span too small. fewer data values than degrees of freedom.
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : pseudoinverse used at 2001.9
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : neighborhood radius 14.09
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : reciprocal condition number 0
## Warning in simpleLoess(y, x, w, span, degree = degree, parametric = ## parametric, : There are other near singularities as well. 16.728
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : span too small. fewer ## data values than degrees of freedom.
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : pseudoinverse used at ## 2001.9
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : neighborhood radius ## 14.09
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : reciprocal condition ## number 0
## Warning in predLoess(object$y, object$x, newx = if ## (is.null(newdata)) object$x else if (is.data.frame(newdata)) ## as.matrix(model.frame(delete.response(terms(object)), : There are other near ## singularities as well. 16.728
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